In an advance, online publication of Science this week, Chaolin Zhang and colleagues at The Rockefeller University report their approach for "understanding mammalian RNA regulation at the systems level" using "Bayesian networks to probabilistically model diverse datasets and predict the target networks of specific regulators." Zhang et al. used their strategy to elucidate nearly 700 alternative splicing events that are directly regulated by Nova, a neuron-specific factor in the mouse brain.